Senior Data scientist

Tata Consultancy Services; Cincinnati (OH); On-site; USD 135,000 - 175,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support

Insurance Options

Convenience & Professional Growth

Time Off

Legal & Financial Assistance

Job summary

Tata Consultancy Services is looking for a skilled professional in Cincinnati, Ohio, to develop deep learning models for large-scale recommender systems. The role involves enhancing customer experiences through AI-driven solutions and cross-functional collaboration.

Applicants should have strong knowledge in machine learning frameworks like TensorFlow or PyTorch and experience with cloud platforms. A competitive salary range of $135,000 – $175,000 per year is offered along with comprehensive employee benefits.

Qualifications

• 2+ years of proven experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Experience working with LLMs or Generative systems in applied settings.
• Experience working with cloud platforms like Azure or GCP.

Responsibilities

• Design and improve recommender systems for customer experiences.
• Apply Generative AI models to enhance personalization.
• Design and run A/B tests and segmentation-based experiments.
• Build and curate datasets to support ML and AI applications.
• Work closely with product owners and engineers to define solutions.

Skills

Deep learning models

TensorFlow or PyTorch

SQL

Python

Spark

Statistics

LLMs or Generative systems

Cloud platforms (Azure or GCP)

Data Engineering

MLOps

Job description

Job Description

• 2+ years of proven experience building deep learning models for large‑scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL, Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
• Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
• Experience working with LLMs or Generative systems in applied settings.
• Experience working with cloud platforms like Azure or GCP.
• Experience working with Data Engineering and MLOps is desirable.
• High level of independence to develop and own toolkits, pipelines, and dashboards.

Roles & Responsibilities

• Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with engineering to deploy and iterate on models in production.
• AI & LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user‑centric metrics.
• Experimentation & Measurement. Design and run A/B tests and segmentation‑based experiments. Develop measurement frameworks for personalization. Translate results into actionable insights and model improvements.
• Data & Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.
• Cross‑functional Collaboration. Work closely with product owners, engineers, and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non‑technical audiences. Operate with high ownership in ambiguous, fast‑moving environment.

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range $135,000 – $175,000 a year